This project uses a genetic algorithm (GA) to enhance feature selection for a neural network classifying emotions from the RAVDESS Facial Landmark Tracking dataset, focusing on distinguishing happy and sad emotions. The goal is to refine the neural network's predictive accuracy by iteratively selecting the most informative facial landmarks.
active 2024-06-10 → 2024-06-10 (UTC)
Activity over time
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Line chart, 1 days from 2024-06-10 to 2024-06-10. Pushes: 1 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
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Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| maheera1 | 1 | 1 | 0 | 0 |
Recent activity
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Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.